These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 36968402)

  • 1. Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods.
    Zhang M; Chen T; Gu X; Chen D; Wang C; Wu W; Zhu Q; Zhao C
    Front Plant Sci; 2023; 14():1073346. PubMed ID: 36968402
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Applications of a Hyperspectral Imaging System Used to Estimate Wheat Grain Protein: A Review.
    Ma J; Zheng B; He Y
    Front Plant Sci; 2022; 13():837200. PubMed ID: 35463397
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of Spaceborne and UAV-Borne Remote Sensing Spectral Data for Estimating Monsoon Crop Vegetation Parameters.
    Wijesingha J; Dayananda S; Wachendorf M; Astor T
    Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33924176
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning.
    Sun C; Feng L; Zhang Z; Ma Y; Crosby T; Naber M; Wang Y
    Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32947919
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Soybean cyst nematode detection and management: a review.
    Arjoune Y; Sugunaraj N; Peri S; Nair SV; Skurdal A; Ranganathan P; Johnson B
    Plant Methods; 2022 Sep; 18(1):110. PubMed ID: 36071455
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hyperspectral remote sensing to detect leafminer-induced stress in bok choy and spinach according to fertilizer regime and timing.
    Nguyen HD; Nansen C
    Pest Manag Sci; 2020 Jun; 76(6):2208-2216. PubMed ID: 31970888
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application and recent progress of inland water monitoring using remote sensing techniques.
    Cao Q; Yu G; Qiao Z
    Environ Monit Assess; 2022 Nov; 195(1):125. PubMed ID: 36401670
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A study on water quality parameters estimation for urban rivers based on ground hyperspectral remote sensing technology.
    Hou Y; Zhang A; Lv R; Zhao S; Ma J; Zhang H; Li Z
    Environ Sci Pollut Res Int; 2022 Sep; 29(42):63640-63654. PubMed ID: 35460477
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils.
    Alordzinu KE; Li J; Lan Y; Appiah SA; Al Aasmi A; Wang H; Liao J; Sam-Amoah LK; Qiao S
    Sensors (Basel); 2021 Aug; 21(17):. PubMed ID: 34502595
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions.
    Berger K; Verrelst J; Féret JB; Wang Z; Wocher M; Strathmann M; Danner M; Mauser W; Hank T
    Remote Sens Environ; 2020 Jun; 242():111758. PubMed ID: 36082364
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of wheat tiller density using remote sensing data and machine learning methods.
    Hu J; Zhang B; Peng D; Yu R; Liu Y; Xiao C; Li C; Dong T; Fang M; Ye H; Huang W; Lin B; Wang M; Cheng E; Yang S
    Front Plant Sci; 2022; 13():1075856. PubMed ID: 36618628
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield.
    Fei S; Li L; Han Z; Chen Z; Xiao Y
    Plant Methods; 2022 Nov; 18(1):119. PubMed ID: 36344997
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new multiscale approach for monitoring vegetation using remote sensing-based indicators in laboratory, field, and landscape.
    Lausch A; Pause M; Merbach I; Zacharias S; Doktor D; Volk M; Seppelt R
    Environ Monit Assess; 2013 Feb; 185(2):1215-35. PubMed ID: 22527462
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops.
    Fahey T; Pham H; Gardi A; Sabatini R; Stefanelli D; Goodwin I; Lamb DW
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33383831
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting Grape Sugar Content under Quality Attributes Using Normalized Difference Vegetation Index Data and Automated Machine Learning.
    Kasimati A; Espejo-García B; Darra N; Fountas S
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590939
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Rice Yield Estimation Using Parcel-Level Relative Spectral Variables From UAV-Based Hyperspectral Imagery.
    Wang F; Wang F; Zhang Y; Hu J; Huang J; Xie J
    Front Plant Sci; 2019; 10():453. PubMed ID: 31024607
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Fraction of absorbed photosynthetically active radiation over summer maize canopy estimated by hyperspectral remote sensing under different drought conditions.].
    Liu EH; Zhou GS; Zhou L
    Ying Yong Sheng Tai Xue Bao; 2019 Jun; 30(6):2021-2029. PubMed ID: 31257775
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review.
    Saha D; Manickavasagan A
    Curr Res Food Sci; 2021; 4():28-44. PubMed ID: 33659896
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Comparison of precision in retrieving soybean leaf area index based on multi-source remote sensing data].
    Gao L; Li CC; Wang BS; Yang Gui-jun ; Wang L; Fu K
    Ying Yong Sheng Tai Xue Bao; 2016 Jan; 27(1):191-200. PubMed ID: 27228609
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Preliminary investigation of submerged aquatic vegetation mapping using hyperspectral remote sensing.
    William DJ; Rybicki NB; Lombana AV; O'Brien TM; Gomez RB
    Environ Monit Assess; 2003; 81(1-3):383-92. PubMed ID: 12620030
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.